Aspects of theme and their role in workplace texts

The study adopts a systemic functional perspectives and focuses on an analysis of Theme in three workplace text types: memos, letters and reports. The aim of the study is to investigate the function performed by Theme in these texts. The study diverges from Halliday’s identification of Theme and argues that the Subject is an obligatory part of Theme. In examining the function Theme performs, specific features such as the relationship between Theme and genre and between Theme and interpersonal meaning are explored. The study investigates the linguistic realisations in the texts which help understand the way in which the choice of Theme is related to, and perhaps constrained by, the genre. In addition, the linguistic resources used by the writer to construe interpersonal meanings through their choice of Theme are explored. The study investigates Theme from two distinct positions. Firstly a lexico-grammatical analysis of thematic choices in the texts is undertaken. Secondly, the study draws upon informant interpretations and considers the way in which certain thematic choices construe different meanings for different types of reader. The methodology adopted is twofold: an analysis of Theme in a corpus of authentic workplace texts comprised of 30 memos, 22 letters and 10 reports; and an analysis of informant interpretations drawn from focus group interviews with 12 business people and 15 EFL teachers. In both sets of data, Theme is scrutinised with respect to textual, interpersonal, topical and marked themes and the meanings construed through such choices. The findings show that Theme plays an important role in organising the text, as well as in realising ideational and interpersonal meaning. In particular the findings demonstrate that marked Theme, or the term adopted in the present study, ‘extended Theme’, performs a crucial role in representing the workplace as a depersonalised, material world

Standardize:Aligning Language Models with Expert-Defined Standards for Content Generation

Domain experts across engineering, healthcare, and education follow strict standards for producing quality content such as technical manuals, medication instructions, and children's reading materials. However, current works in controllable text generation have yet to explore using these standards as references for control. Towards this end, we introduce Standardize, a retrieval-style in-context learning-based framework to guide large language models to align with expert-defined standards. Focusing on English language standards in the education domain as a use case, we consider the Common European Framework of Reference for Languages (CEFR) and Common Core Standards (CCS) for the task of open-ended content generation. Our findings show that models can gain 40% to 100% increase in precise accuracy for Llama2 and GPT-4, respectively, demonstrating that the use of knowledge artifacts extracted from standards and integrating them in the generation process can effectively guide models to produce better standard-aligned content

Standardize:Aligning Language Models with Expert-Defined Standards for Content Generation

Domain experts across engineering, healthcare, and education follow strict standards for producing quality content such as technical manuals, medication instructions, and children's reading materials. However, current works in controllable text generation have yet to explore using these standards as references for control. Towards this end, we introduce Standardize, a retrieval-style in-context learning-based framework to guide large language models to align with expert-defined standards. Focusing on English language standards in the education domain as a use case, we consider the Common European Framework of Reference for Languages (CEFR) and Common Core Standards (CCS) for the task of open-ended content generation. Our findings show that models can gain 40% to 100% increase in precise accuracy for Llama2 and GPT-4, respectively, demonstrating that the use of knowledge artifacts extracted from standards and integrating them in the generation process can effectively guide models to produce better standard-aligned content

Full circle : stakeholders' evaluation of a collaborative enquiry action research literacy project

This paper reports on school-university collaboration during an action research project, which aimed to build a writing pedagogy for students with Learning Disabilities in the trilingual, biliterate educational context of Hong Kong. The project was established through interpersonal relationships built from the ground up between stakeholders from a university department and a secondary school. The informal social networks were the locus of innovation and creativity within the project. This paper examines four broad dimensions of collaboration: the relationships created, the resources shared, the action taken and the pedagogy created. We discuss these dimensions of collaboration from the perspectives of the stakeholders. We found that each stakeholder aligned their motivations and expectations with other stakeholders to achieve the common goals of the research and consequently we call such alignments of interests "research networks". Finally, we suggest that "research networks" constitute an important, yet overlooked component of action research.18 page(s